Готові списки джерел за темами / Multi-channel

Добірка наукової літератури з теми "Multi-channel"

Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 25 травня 2024

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Статті в журналах з теми "Multi-channel"

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Sobhe, Kareim M., and Ahmed Sameh. "Configuration Management in Multi-Channel Multi-Container Web Application Servers." International Journal of Engineering and Technology 3, no. 3 (2011): 220–29. http://dx.doi.org/10.7763/ijet.2011.v3.228.

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2

Kim, Jong-Duk, and Toung-Kil Kim. "A Study of Multi-Channel Internet Radio Platform." Journal of the Korean Institute of Information and Communication Engineering 14, no. 7 (July 30, 2010): 1723–28. http://dx.doi.org/10.6109/jkiice.2010.14.7.1723.

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Moon, Seok Hyun, In Gyu Lee, and Min Ho Lee. "Multi-Channel LiDAR Performance Evaluation for AI Training." Journal of Korean Society for Geospatial Information Science 31, no. 4 (December 31, 2023): 75–81. http://dx.doi.org/10.7319/kogsis.2023.31.4.075.

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4

Hurth, Joachim. "Multi-Channel-Marketing." WiSt - Wirtschaftswissenschaftliches Studium 30, no. 9 (2001): 463–69. http://dx.doi.org/10.15358/0340-1650-2001-9-463.

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5

Zentes, Joachim, and Hanna Schramm-Klein. "Multi-Channel-Retailing." WiSt - Wirtschaftswissenschaftliches Studium 31, no. 8 (2002): 450–60. http://dx.doi.org/10.15358/0340-1650-2002-8-450.

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6

Kim, Sung-Il. "Multi-channel headphones." Journal of the Acoustical Society of America 117, no. 5 (2005): 2688. http://dx.doi.org/10.1121/1.1932346.

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7

Kaytaz, Umuralp, Seyhan Ucar, and Sinem Coleri. "Index-Based Channel Hopping for Multi-Rendezvous Multi-Channel MAC." IEEE Communications Letters 24, no. 6 (June 2020): 1231–35. http://dx.doi.org/10.1109/lcomm.2020.2975778.

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8

Prasad, G. Shyam Chandra, and K. Adi Narayana Reddy. "Sentiment Analysis Using Multi-Channel CNN-LSTM Model." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12-SPECIAL ISSUE (December 31, 2019): 489–94. http://dx.doi.org/10.5373/jardcs/v11sp12/20193243.

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Ogale, Jyotsna, and Alok Jain. "Design of Multi-Channel Non-Uniform Filter Bank." International Journal of Scientific Research 2, no. 7 (June 1, 2012): 149–52. http://dx.doi.org/10.15373/22778179/july2013/51.

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10

Kim, Hyun Hak. "Analysis on Employment Effect of MCN(Multi-Channel Network) Industry." Journal of Arts and Cultural Management 14, no. 2 (December 30, 2021): 29–57. http://dx.doi.org/10.15333/acm.2021.12.30.29.

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Дисертації з теми "Multi-channel"

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Lavén, Andreas. "Multi-Channel Anypath Routing for Multi-Channel Wireless Mesh Networks." Thesis, Karlstad University, Faculty of Economic Sciences, Communication and IT, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-5370.

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Анотація:

Increasing capacity in wireless mesh networks can be achieved by using multiple channels and radios. By using different channels, two nodes can send packets at the same time without interfering with each other. To utilize diversity of available frequency, typically cards use channel-switching, which implies significant overhead in terms of delay. Assignment of which channels to use needs to be coupled with routing decisions as routing influences topology and traffic demands, which in turn impacts the channel assignment.

Routing algorithms for wireless mesh networks differ from routing algorithms that are used in wired networks. In wired networks, the number of hops is usually the only metric that matters. Wireless networks, on the other hand, must consider the quality of different links, as it is possible for a path with a larger amount of hops to be better than a path with fewer hops.

Typical routing protocols for wireless mesh networks such as Optimized Link State Routing (OLSR) use a single path to send packets from source to destination. This path is precomputed based on link state information received through control packets. The consideration of more information than hop-count in the routing process has shown to be beneficial as for example link quality and physical layer data rate determines the quality of the end-to-end path. In multi-channel mesh networks, also channel switching overhead and channel diversity need to be considered as a routing metric. However, a major drawback of current approaches is that a path is precomputed and used as long as the path is available and shows a good enough metric. As a result, short term variations on link quality or channel switching are not considered.

In this thesis, a new routing protocol is designed that provides a set of alternative forwarding candidates for each destination. To minimize delay (from both transmission and channel switching), a forwarding mechanism is developed to select one of the available forwarding candidates for each packet. The implementation was tested on an ARM based multi-radio platform, of which the results show that in a simple evaluation scenario the average delay was reduced by 22 % when compared to single path routing.

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Naveed, Anjum Computer Science &amp Engineering Faculty of Engineering UNSW. "Channel assignment in multi-radio multi-channel wireless mesh networks." Awarded by:University of New South Wales. Computer Science & Engineering, 2008. http://handle.unsw.edu.au/1959.4/41500.

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Channel assignment in wireless mesh network (WMN) aims at improving the network throughput by utilizing multiple orthogonal frequency channels to minimize the interference. Interference can be categorized as coordinated and non-coordinated, depending upon the relative location of the interfering links. Compared to coordinated interference, non-coordinated interference has a severe adverse impact on throughput. This thesis is based on the hypothesis that the network throughput can be improved significantly, if channel assignment minimizes non-coordinated interference with priority. We propose a static and centralized channel assignment scheme CCAS to show the effectiveness of the hypothesis. The cluster-based approach of CCAS minimizes non-coordinated interference with reduced complexity. CCAS improves the network throughput by upto 80%, compared to the existing schemes. We propose topology control scheme MATS that constructs low interference multipath network topology using a subset of links from physical topology. We report an additional improvement of upto 10% in the network throughput, when CCAS assigns channels to the links selected by MATS. In the final part of the thesis, we formulate generalized channel assignment as an optimization problem, accounting for real network traffic. The objective of the problem is to select the channels for links such that maximum incident traffic can be transmitted over the links, while ensuring a fair distribution of throughput amongst links and elimination of non-coordinated interference. For a given network and incident traffic, the solution to this problem generates the channel assignment resulting in optimal network throughput. We propose dynamic and distributed scheme LYCAS as an approximate solution to the problem. LYCAS employs MATS to construct network topology and cluster-based approach of CCAS to minimize non-coordinated interference. In addition, it periodically updates the assignment of channels to adapt to the changing traffic load. LYCAS achieves upto 68% of the optimal network throughput and upto 72% of optimal aggregate end-to-end throughput of multi-hop flows. It outperforms the existing schemes by a factor of 2.
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Amiri, Nehzad Maryam. "Channel assignment protocols for multi-radio multi-channel wireless mesh netwworks." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/104156.

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The increasing demand for large and low cost wireless coverage, ranging from campus to city wide areas, has motivated a high interest in multi-hop communications with Wireless Mesh Networks (WMN) based on IEEE 802.11s as the most recent and significant standard. Channel Assignment (CA) is mechanism which selects the best channels for an individual wireless node or the entire network aiming to increase the capacity of the network. Channel assignment has been extensively researched for multi-radio WMNs, but it is still very challenging when it comes to its implementation. Although IEEE 802.11s introduces new inter-working, routing and wireless frame forwarding at the link layer, the multi channel architecture receives less attention due to many unsolved challenges that arises while mesh service set works over multiple frequencies. This research work tries to give a solution to the needs of designing an efficient channel assignment mechanism. As a result we have proposed a new static channel assignment based on the fact that not all wireless links are practically useful. Our mechanism prunes the network topology by removing weak wireless links and improves the network performance by reaching a more diverse channel-radio assignation solution. Toward designing a distributed channel assignment we propose a new game theory based formulation of channel assignment which is applicable to a realistic scenario with imperfect information at each router. We have proposed a distributed and hybrid channel assignment protocol based on the game formulation. The proposed channel assignment makes wireless router to be able to follow the unpredictable changes in the wireless environment. We also investigated the types of channel assignment protocols which can be adapted to the IEEE 802.11s based mesh network and improve the network good-put in terms of data delivery ratio and end-to-end delay.
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4

Chiu, Hon-sun, and 邵漢新. "Channel assignment and routing in multi-channel multi-interface wireless networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B42182050.

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Chiu, Hon-sun. "Channel assignment and routing in multi-channel multi-interface wireless networks." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42182050.

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6

Farber, Dawn L. (Dawn Lee). "Multi-channel QRS detector." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10868.

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Golmohamadi, Marcia. "Multi-Polarized Channel Characterization." ScholarWorks @ UVM, 2019. https://scholarworks.uvm.edu/graddis/1026.

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Machine-to-machine (M2M) communication is becoming an important aspect of warehouse management, remote control, robotics, traffic control, supply chain management, fleet management and telemedicine. M2M is expected to become a significant portion of the Industrial Internet and, more broadly, the Internet of Things (IoT). The environments in which M2M systems are expected to operate may be challenging in terms of radio wave propagation due to their cluttered, multipath nature, which can cause deep signal fades and signal depolarization. Polarization diversity in two dimensions is a well-known technique to mitigate such fades. But in the presence of reflectors and retarders where multipath components arrive from any direction, we find the detrimental effects to be three-dimensional and thus consider herein mitigation approaches that are also 3D. The objectives of this dissertation are three. First, to provide a theoretical framework for depolarization in three dimensions. Second, to prepare a tripolar antenna design that meets cost, power consumption, and simplicity requirements of M2M applications and that can mitigate the expected channel effects. Finally, to develop new channel models in three dimensional space for wireless systems. Accordingly, this dissertation presents a complete description of 3D electromagnetic fields, in terms of their polarization characteristics and confirms the advantage of employing tripolar antennas in multipath conditions. Furthermore, the experimental results illustrate that highly variable depolarization occurs across all three spatial dimensions and is dependent on small changes in frequency and space. Motivated by these empirical results, we worked with a collaborating institution to develop a three-dimensional tripolar antenna that can be integrated with a commercially available wireless sensor. This dissertation presents the testing results that show that this design significantly improves channels over traditional 2D approaches. The implications of tripolar antenna integration on M2M systems include reduction in energy use, longer wireless communication link distances, and/or greater link reliability. Similar results are shown for a planar antenna design that enables four different polarization configurations. Finally, the work presents a novel three-dimensional geometry-based stochastic channel model that builds the channel as a sum of shell-like sub-regions, where each sub-region consists of groups of multipath components. The model is validated with empirical data to show the approach may be used for system analyses in indoor environments.
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8

Munawar, Mohammad Ahmad. "Multi-interface Multi-channel wireless mesh networks." Thesis, University of Waterloo, 2004. http://hdl.handle.net/10012/875.

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In this thesis we propose a multi-channel wireless network based on nodes that use multiple 802. 11 radio interfaces. The proposed system is singular, as it does not require new hardware or a new MAC, but instead leverages commodity 802. 11-based products. With this system, we target scenarios where the nodes are stationary and where their location can often be controlled. We evaluate the performance in this setup using an ad-hoc network approach whereby nodes generate as well as forward data. We also present and appraise a purely-wireless multi-channel infrastructure, which operates like the WLAN infrastructure-based networks in existence today, but without any fixed-line support. In such an infrastructure nodes dedicated for routing purposes provide wireless connectivity to users. We show that a multi-interface system provide significantly higher capacity in many scenarios. Our work puts forward various challenges, points to various anomalies in the operation of the 802. 11 MAC protocol, and shows the need to tackle unfairness issues. Our experiments demonstrate that the mere use of more dual-interface nodes does not necessarily create higher capacity. We also show that traffic differentiation significantly increases aggregate throughput in realistic scenarios. Finally, we provide an example of how simple channel-allocation algorithms in controlled random topologies can allow us to take advantage of a multi-interface system.
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9

Choi, Sangil. "Minimum interference channel assignment for multicast in multi-channel multi-radio wireless mesh networks." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1468073.

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10

Meflah, L. "Multi-impairment and multi-channel optical performance monitoring." Thesis, University College London (University of London), 2008. http://discovery.ucl.ac.uk/14226/.

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Next generation optical networks will evolve from static to dynamically reconfigurable architectures to meet the increasing bandwidth and service requirements. The benefits of dynamically reconfigurable networks (improved operations, reduced footprint and cost) have introduced new challenges, in particular the need for complex management which has put pressure on the engineering rules and transmission margins. This has provided the main drive to develop new techniques for optical performance monitoring (OPM) without using optical-to-electrical-to-optical conversions. When considering impairments due to chromatic dispersion in dynamic networks, each channel will traverse a unique path through the network thus the channels arriving at the monitoring point will, in general, exhibit different amounts of residual dispersion. Therefore, in a dynamic network it is necessary to monitor all channels individually to quantify the degradation, without the requirement of knowing the data path history. The monitoring feature can be used in conjunction with a dispersion compensation device which can either be optical or electrical or used to trigger real-time alarms for traffic re-routing. The proposed OPM technique is based on RF spectrum analysis and used for simultaneous and independent monitoring of power, chromatic dispersion (CD), polarisation mode dispersion (PMD) and optical signal-to-noise ratio (OSNR) in 40Gbit/s multi0channel systems. An analytical model is developed to describe the monitoring technique which allows the prediction of the measurement range. The experimental results are given for group velocity dispersion (GVD), differential group delay (DGD) and OSNR measurements. This technique is based on electro-optic down-conversion that simultaneously down-converts multiple channels, sharing the cost of the key components over multiple channels and making it cost effective for multi-channel operation. The measurement range achieved with this method is equal to 4742±100ps/nm for GVD, 200±4ps for DGD and 25±1dB for OSNR. To the knowledge of the author, these dispersion monitoring ranges are the largest reported to date for the bit-rate of 40Gbit/s with amplitude modulation formats.
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Книги з теми "Multi-channel"

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Wirtz, Bernd W. Multi-Channel-Marketing. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-03345-3.

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Wirtz, Bernd W. Multi-Channel-Marketing. Wiesbaden: Gabler Verlag, 2013. http://dx.doi.org/10.1007/978-3-8349-4644-7.

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Rittinger, Sebastian. Multi-Channel Retailing. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-05197-6.

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Schramm-Klein, Hanna. Multi-Channel-Retailing. Wiesbaden: Deutscher Universitätsverlag, 2003. http://dx.doi.org/10.1007/978-3-322-81463-0.

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Jäger, Reingard. Multi-Channel im stationären Einzelhandel. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-13027-5.

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Biesel, Hartmut H. Kundenmanagement im Multi-Channel-Vertrieb. Wiesbaden: Gabler Verlag, 2002. http://dx.doi.org/10.1007/978-3-322-90302-0.

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Ladwig, Frank. Multi-Channel-Commerce im Vertrieb. Wiesbaden: Gabler Verlag, 2002. http://dx.doi.org/10.1007/978-3-322-86980-7.

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8

Zubow, A. Multi-channel opportunistic routing in multi-hop wireless networks. Berlin: Professoren des Institutes für Informatik, 2006.

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9

Ji, Bo, Xiaojun Lin, and Ness B. Shroff. Advances in Multi-Channel Resource Allocation. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-79272-4.

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10

Fashion retailing: A multi-channel approach. 2nd ed. Upper Saddle River, N.J: Pearson Prentice Hall, 2006.

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Частини книг з теми "Multi-channel"

1

Corbae, Gerald, Jakob B. Jensen, and Dirk Schneider. "Channel — Multi-channel Marketing." In Marketing 2.0, 117–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24783-8_8.

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Wirtz, Bernd W. "Channel-Relationship-Management." In Multi-Channel-Marketing, 320–42. Wiesbaden: Gabler Verlag, 2013. http://dx.doi.org/10.1007/978-3-8349-4644-7_21.

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Wirtz, Bernd W. "Channel-Relationship-Management." In Multi-Channel-Marketing, 443–62. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-03345-3_27.

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Wirtz, Bernd W. "Einführung." In Multi-Channel-Marketing, 1–6. Wiesbaden: Gabler Verlag, 2013. http://dx.doi.org/10.1007/978-3-8349-4644-7_1.

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Wirtz, Bernd W. "Marktsegmentierung im Multi-Channel-Marketing." In Multi-Channel-Marketing, 136–45. Wiesbaden: Gabler Verlag, 2013. http://dx.doi.org/10.1007/978-3-8349-4644-7_10.

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Wirtz, Bernd W. "Strategiedefinition im Multi-Channel-Marketing." In Multi-Channel-Marketing, 146–57. Wiesbaden: Gabler Verlag, 2013. http://dx.doi.org/10.1007/978-3-8349-4644-7_11.

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Wirtz, Bernd W. "Design des Mehrkanalsystems." In Multi-Channel-Marketing, 158–202. Wiesbaden: Gabler Verlag, 2013. http://dx.doi.org/10.1007/978-3-8349-4644-7_12.

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Wirtz, Bernd W. "Einführung." In Multi-Channel-Marketing, 205–6. Wiesbaden: Gabler Verlag, 2013. http://dx.doi.org/10.1007/978-3-8349-4644-7_13.

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Wirtz, Bernd W. "Kontrahierungspolitik." In Multi-Channel-Marketing, 207–23. Wiesbaden: Gabler Verlag, 2013. http://dx.doi.org/10.1007/978-3-8349-4644-7_14.

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Wirtz, Bernd W. "Produktpolitik." In Multi-Channel-Marketing, 224–44. Wiesbaden: Gabler Verlag, 2013. http://dx.doi.org/10.1007/978-3-8349-4644-7_15.

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Тези доповідей конференцій з теми "Multi-channel"

1

Botti, A., and C. Chavez. "Novel multi-channel skipper-CCD packagesfor dark-matter searches." In Novel multi-channel skipper-CCD packagesfor dark-matter searches. US DOE, 2023. http://dx.doi.org/10.2172/1998924.

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England, Troy, Fabricio Bessia, Hongzhi Sun, Leandro Stefanazzi, Davide Braga, Miguel Sofo Haro, Shaorui Li, Juan Estrada, and Farah Fahim. "A multi-channel cryogenic low-noise skipper-CCD readout ASIC." In A multi-channel cryogenic low-noise skipper-CCD readout ASIC. US DOE, 2021. http://dx.doi.org/10.2172/1841383.

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3

Zhang, Guangfei, Huandong Wang, Xinke Chen, Shuai Huang, and Peng Li. "Heterogeneous multi-channel." In the 49th Annual Design Automation Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2228360.2228517.

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Ma, Liangping, and Chien-Chung Shen. "Optimal channel assignment for multi-channel multi-radio wireless networks." In MILCOM 2008 - 2008 IEEE Military Communications Conference (MILCOM). IEEE, 2008. http://dx.doi.org/10.1109/milcom.2008.4753576.

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Hamayun, Muhammad Sibtain, and Yi Gong. "Optimal channel selection in multi-user multi-channel secondary networks." In 2013 International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2013. http://dx.doi.org/10.1109/wcsp.2013.6677164.

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Wang, Jie, Yusheng Ji, Xinhong Wang, and Fuqiang Liu. "RSU-coordinated Multi-channel MAC with Multi-criteria Channel Allocation." In 2012 International Conference on Connected Vehicles and Expo (ICCVE). IEEE, 2012. http://dx.doi.org/10.1109/iccve.2012.19.

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Law, K. L. Eddie, and Wing-Chung Hung. "Channel control for multi-radio multi-channel wireless mesh networks." In the 3nd ACM workshop. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1454630.1454654.

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Huang, Lianfen, Han Yu, Dan Guo, and Minghao Yu. "Cognitive channel combination multi-channel MAC protocol." In Signal Processing (WCSP 2009). IEEE, 2009. http://dx.doi.org/10.1109/wcsp.2009.5371531.

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Baziana, Peristera A. "Channel grouping architecture for multi-channel networks." In 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE, 2017. http://dx.doi.org/10.1109/icecct.2017.8117936.

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Haq, Aftabul, Anjum Naveed, and Salil S. Kanhere. "Securing Channel Assignment in Multi-Radio Multi-Channel Wireless Mesh Networks." In 2007 IEEE Wireless Communications and Networking Conference. IEEE, 2007. http://dx.doi.org/10.1109/wcnc.2007.575.

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Звіти організацій з теми "Multi-channel"

1

Kramer, Mitchell. Multi-Channel CRM. Boston, MA: Patricia Seybold Group, January 2003. http://dx.doi.org/10.1571/fw1-23-03cc.

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2

Hong, J. K., M. Riedel, Y. K. Jin, D. S. Shin, H. Choi, H. J. Kim, H S Kim, M. Ulmi, and S. Kim. Multi-channel seismic survey. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2015. http://dx.doi.org/10.4095/295965.

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3

Kramer, Mitchell. Multi-Channel CRM Architecture. Boston, MA: Patricia Seybold Group, February 2003. http://dx.doi.org/10.1571/psgp2-6-03cc.

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4

Bhandari, Vartika, and Nitin H. Vaidya. Channel and Interface Management in a Heterogeneous Multi-Channel Multi-Radio Wireless Network. Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada555113.

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5

Kramer, Mitchell. How to Approach Multi-Channel CRM. Boston, MA: Patricia Seybold Group, May 2003. http://dx.doi.org/10.1571/psgp5-22-03cc.

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6

Himed, Braham. Multi-Channel Signal Generation and Analysis. Fort Belvoir, VA: Defense Technical Information Center, September 1998. http://dx.doi.org/10.21236/ada362362.

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7

Mosby, Shea Morgan. Multi-channel probes to understand fission dynamics. Office of Scientific and Technical Information (OSTI), April 2016. http://dx.doi.org/10.2172/1248128.

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8

Bhandari, Vartika, and Nitin H. Vaidya. Connectivity and Capacity of Multi-Channel Wireless Networks with Channel Switching Constraints. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada486514.

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9

Patin, J., M. Stoyer, K. Moody, and A. Friensehner. Pre-experiment testing of the Multi Channel Systems 16-channel preamplifier CPA16. Office of Scientific and Technical Information (OSTI), November 2003. http://dx.doi.org/10.2172/15013837.

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10

Zhang, Jianlong, Jeff Reid, Edward Hyer, James Campbell, Douglas Westphal, and Nancy Baker. Development of an Operational Multi-sensor and Multi-channel Aerosol Assimilation Package. Fort Belvoir, VA: Defense Technical Information Center, August 2011. http://dx.doi.org/10.21236/ada547475.

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